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tileHMM (version 1.0-6)

Hidden Markov Models for ChIP-on-Chip Analysis

Description

This package provides methods and classes to build HMMs that are suitable for the analysis of ChIP-on-chip data. The provided parameter estimation methods include the Baum-Welch algorithm and Viterbi training as well as a combination of both.

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Install

install.packages('tileHMM')

Monthly Downloads

60

Version

1.0-6

License

GPL (>= 2)

Maintainer

Last Published

December 12th, 2013

Functions in tileHMM (1.0-6)